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Grid-free algorithms for direction-of-arrival trajectory localization.

Ruchi Pandey1, Santosh Nannuru1

  • 1Signal Processing and Communications Research Center, IIIT Hyderabad, Hyderabad, India.

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This study introduces novel trajectory models and gridless algorithms for acoustic source localization. These methods improve direction-of-arrival estimation accuracy and robustness, outperforming traditional grid-based approaches.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Array Signal Processing

Background:

  • Direction-of-arrival (DOA) estimation is vital for acoustic source localization.
  • Traditional block-level processing methods assume static DOA, limiting accuracy in dynamic scenarios.
  • Existing methods struggle with parameter estimation when true values are off-grid.

Purpose of the Study:

  • To develop advanced trajectory models for capturing DOA dynamics.
  • To introduce gridless algorithms for robust DOA estimation.
  • To enhance acoustic source localization performance in practical applications.

Main Methods:

  • Proposed polynomial and harmonic trajectory models for DOA dynamics.
  • Implemented Sliding Frank-Wolfe (SFW) for Beurling LASSO.
  • Utilized Newtonized orthogonal matching pursuit (NOMP) for improved DOA estimation.
  • Extended analysis to multi-frequency processing.

Main Results:

  • The proposed trajectory localization algorithms demonstrate superior performance.
  • Achieved enhanced resolution and robustness to noise compared to grid-based methods.
  • Validated effectiveness using both simulated and real-world acoustic data.

Conclusions:

  • Novel trajectory models and gridless algorithms significantly advance DOA estimation.
  • The developed methods offer improved accuracy, noise robustness, and computational efficiency.
  • This work provides a more effective solution for dynamic acoustic source localization.